Financial Model Risk Management Lead

Overview

This role supports Enterprise Risk & Internal Audit by serving as a Lead validator on the Model Risk Management (MRM) team, focused on Finance and Analytics models. MRM acts as a second line of defense, establishing and overseeing a model risk management framework to identify, quantify, monitor, mitigate, and report model risk across the organization.

Responsibilities

• Conduct independent challenges of financial and analytics quantitative models, including:
  • ALM
  • allowance/loss forecasting
  • loan transition models (LTM)
  • corporate financial planning models
  • take-up and engagement models
  • related decision-support analytics
    through rigorous validation and ongoing monitoring
• Lead end-to-end validation engagements for high-complexity, high-criticality models
• Identify model weaknesses, limitations, and opportunities for improvement; communicate findings clearly to both technical and non-technical stakeholders
• Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance
• Partner cross-functionally to implement and maintain the MRM framework
• Coordinate with Internal Audit, Internal Controls, Accounting, and Compliance to support timely resolution of audit, regulatory, and examiner requests

Requirements

• 4–6 years of professional experience in related technical areas such as model development, model validation, quantitative finance, or data analytics, including meaningful exposure to financial and/or analytics model validation
• Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting
• Experience in credit underwriting or credit risk management is a plus
• Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL)
• Comfort reviewing models built in Excel, Python, Databricks, or similar environments
• Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases
• BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science
• Detail-oriented, intellectually curious approach to data, models, and business context; strong critical thinking and structured problem-solving
• Strong interpersonal and verbal/written communication skills, including the ability to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Compensation & Benefits

• Pay Grade: M
• Equity Grade: 8
• Base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000
• Base pay range (all other U.S. states) per year: $164,000 - $224,000
• New hires typically enter at the start of the pay range
• Total compensation may include equity rewards, monthly stipends for health, wellness, and tech spending, and benefits including 100% subsidized medical coverage for you and your dependents
• Health coverage: 100% of premiums for employees and their dependents
• Spending stipends: monthly stipends for tech setup and health/wellness options
• Time off: flexible time off and generous holiday calendars
• Employee Stock Purchase Plan (ESPP): buy stock at a discount

Location

• Remote-first with flexibility: Most roles can be done from almost anywhere within the country of employment
• Some positions may occasionally require in-person work at an office
• A few roles may be office-based due to the nature of the work
• All new hires will be invited to attend an in-person onboarding experience

Additional Information

• The organization provides an inclusive interview process, including accommodations for candidates with disabilities.
• For positions based in San Francisco or Los Angeles: the organization considers qualified applicants with arrest and conviction records, as required by law.